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Probability & Statistics for Engineers & Scientists, Global Edition
88% of respondents would recommend this to a friend
KGS 11484
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This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance between theory and methodology.
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Информация о продукте
- Rigorous introduction to basic probability theory and statistical inference
- Interesting, relevant applications using real data from actual studies
- Revision focuses on improved clarity and deeper understanding
- MyStatLab™ not included, students should inquire with instructors for correct ISBN and course ID if required
- MyStatLab is an online program designed to engage students and improve results
- Structured environment for students to practice, test understanding, and pursue personalized study plans
| Publisher | Pearson |
| Publication date | 19 Aug. 2016 |
| Edition | 9th |
| Language | English |
| Print length | 811 pages |
| ISBN-10 | 9781292161365 |
| ISBN-13 | 978-1292161365 |
| Item weight | 1.32 kg |
| Dimensions | 19 x 4.85 x 23.5 cm |
Who Should Buy?
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Engineering Students
Ideal for undergraduate engineers needing a comprehensive introduction to probability and statistics for academic success.
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Data Analysts
Helpful for professionals in data analysis seeking to enhance their statistical knowledge and apply concepts effectively.
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Research Scientists
Suitable for scientists requiring statistical tools for research methodology and data interpretation in experiments.
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Casual Learners
Not suitable for individuals with casual interest in statistics who prefer informal or basic resources.
ОПИСАНИЕ ТОВАРА
Probability & Statistics for Engineers & Scientists, Global Edition
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Higher Education Editorial Review
### Probability & Statistics for Engineers & Scientists, Global Edition The "Probability & Statistics for Engineers & Scientists, Global Edition" has received a wide array of feedback from customers, revealing a generally positive reception among students and professionals in technical fields. Users appreciate the comprehensive approach taken by the authors in presenting complex statistical theories and applications, making the content accessible for readers with varying levels of prior knowledge. The clarity of explanations, coupled with practical examples, is frequently highlighted as a strong point, enabling users to apply statistical concepts effectively to real-world scenarios. Many reviewers commend the book for its structured layout, which helps guide them through intricate topics such as probability distributions and hypothesis testing. The inclusion of numerous exercises enhances the learning experience, allowing readers to practice and reinforce their understanding of the material. Furthermore, the global edition has been praised for its up-to-date references and relevant illustrations that resonate with contemporary engineering and scientific challenges. While the majority of feedback is favorable, a few users have expressed concerns regarding the depth of some sections, suggesting that certain topics could benefit from more detailed coverage. Moreover, occasional mentions of the need for supplemental resources indicate that while the book is an excellent starting point, some readers may seek additional materials for advanced study. Overall, the "Probability & Statistics for Engineers & Scientists, Global Edition" is highly regarded as a valuable resource for engineering and science students, offering robust content that effectively bridges theory and practical application. ###
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Плюсы
- Comprehensive coverage of probability and statistics concepts.
- Clear explanations that make complex topics accessible.
- Well-structured layout guiding readers through the material.
- Practical examples and exercises to reinforce learning.
- Up-to-date content relevant to modern engineering and scientific challenges. ###
Минусы
- Some sections may lack depth and could benefit from more detailed coverage.
Product Price History
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KGS 11484
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Особенности и преимущества
- Rigorous introduction to basic probability theory and statistical inference
- Unique balance between theory and methodology
- Uses interesting, relevant applications with real data
- Focuses on improved clarity and deeper understanding
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